#!/usr/bin/env  python
# License: GPLv3 Copyright: 2008, Kovid Goyal <kovid at kovidgoyal.net>

import json
import time
from datetime import datetime, timedelta
from urllib.parse import quote, urlencode
from uuid import uuid4

from html5_parser import parse
from lxml import etree

from calibre import replace_entities
from calibre.ebooks.BeautifulSoup import NavigableString, Tag
from calibre.ptempfile import PersistentTemporaryFile
from calibre.web.feeds.news import BasicNewsRecipe


def E(parent, name, text='', **attrs):
    ans = parent.makeelement(name, **attrs)
    ans.text = text
    parent.append(ans)
    return ans


def process_node(node, html_parent):
    ntype = node.get('type')
    if ntype == 'tag':
        c = html_parent.makeelement(node['name'])
        c.attrib.update({k: v or '' for k, v in node.get('attribs', {}).items()})
        html_parent.append(c)
        for nc in node.get('children', ()):
            process_node(nc, c)
    elif ntype == 'text':
        text = node.get('data')
        if text:
            text = replace_entities(text)
            if len(html_parent):
                t = html_parent[-1]
                t.tail = (t.tail or '') + text
            else:
                html_parent.text = (html_parent.text or '') + text


def safe_dict(data, *names):
    ans = data
    for x in names:
        ans = ans.get(x) or {}
    return ans


class JSONHasNoContent(ValueError):
    pass


def load_article_from_json(raw, root):
    # open('/t/raw.json', 'w').write(raw)
    data = json.loads(raw)
    body = root.xpath('//body')[0]
    article = E(body, 'article')
    E(article, 'div', data['flyTitle'], style='color: red; font-size:small; font-weight:bold;')
    E(article, 'h1', data['title'], title=safe_dict(data, 'url', 'canonical') or '')
    E(article, 'div', data['rubric'], style='font-style: italic; color:#202020;')
    try:
        date = data['dateModified']
    except Exception:
        date = data['datePublished']
    dt = datetime.fromisoformat(date[:-1]) + timedelta(seconds=time.timezone)
    dt = dt.strftime('%b %d, %Y %I:%M %p')
    if data['dateline'] is None:
        E(article, 'p', dt, style='color: gray; font-size:small;')
    else:
        E(article, 'p', dt + ' | ' + (data['dateline']), style='color: gray; font-size:small;')
    main_image_url = safe_dict(data, 'image', 'main', 'url').get('canonical')
    if main_image_url:
        div = E(article, 'div')
        try:
            E(div, 'img', src=main_image_url)
        except Exception:
            pass
    for node in data.get('text') or ():
        process_node(node, article)


def cleanup_html_article(root):
    main = root.xpath('//main')[0]
    body = root.xpath('//body')[0]
    for child in tuple(body):
        body.remove(child)
    body.append(main)
    main.set('id', '')
    main.tag = 'article'
    for x in root.xpath('//*[@style]'):
        x.set('style', '')
    for x in root.xpath('//button'):
        x.getparent().remove(x)


def classes(classes):
    q = frozenset(classes.split(' '))
    return dict(attrs={
        'class': lambda x: x and frozenset(x.split()).intersection(q)})


def new_tag(soup, name, attrs=()):
    impl = getattr(soup, 'new_tag', None)
    if impl is not None:
        return impl(name, attrs=dict(attrs))
    return Tag(soup, name, attrs=attrs or None)


class NoArticles(Exception):
    pass


def process_url(url):
    if url.startswith('/'):
        url = 'https://www.economist.com' + url
    return url


class EconomistNews(BasicNewsRecipe):
    title = 'The Economist News'
    language = 'en'
    encoding = 'utf-8'
    masthead_url = 'https://www.livemint.com/lm-img/dev/economist-logo-oneline.png'

    __author__ = 'Kovid Goyal'
    description = (
        'Global news and current affairs from a European'
        ' perspective. Get the latest articles here.'
    )
    extra_css = '''
        em { color:#202020; }
        img {display:block; margin:0 auto;}
    '''

    cover_url = 'https://m.media-amazon.com/images/M/MV5BNzJiZGYzNzgtNWY5Yi00NWYyLThmZGUtODQyM2ZkOWVlMDI1XkEyXkFqcGc@.jpg'
    oldest_article = 15
    resolve_internal_links = True
    remove_tags = [
        dict(name=['script', 'noscript', 'title', 'iframe', 'cf_floatingcontent', 'aside', 'footer', 'svg']),
        dict(attrs={'aria-label': 'Article Teaser'}),
        dict(attrs={'id': 'player'}),
        dict(attrs={
                'class': [
                    'dblClkTrk', 'ec-article-info', 'share_inline_header',
                    'related-items', 'main-content-container', 'ec-topic-widget',
                    'teaser', 'blog-post__bottom-panel-bottom', 'blog-post__comments-label',
                    'blog-post__foot-note', 'blog-post__sharebar', 'blog-post__bottom-panel',
                    'newsletter-form', 'share-links-header', 'teaser--wrapped', 'latest-updates-panel__container',
                    'latest-updates-panel__article-link', 'blog-post__section'
                ]
            }
        ),
        dict(attrs={
                'class': lambda x: x and 'blog-post__siblings-list-aside' in x.split()}),
        dict(attrs={'id': lambda x: x and 'gpt-ad-slot' in x}),
        classes(
            'share-links-header teaser--wrapped latest-updates-panel__container'
            ' latest-updates-panel__article-link blog-post__section newsletter-form blog-post__bottom-panel'
        )
    ]
    keep_only_tags = [dict(name='article', id=lambda x: not x)]
    no_stylesheets = True
    remove_attributes = ['data-reactid', 'width', 'height']
    # economist.com has started throttling after about 60% of the total has
    # downloaded with connection reset by peer (104) errors.
    delay = 3
    remove_empty_feeds = True
    ignore_duplicate_articles = {'title'}

    needs_subscription = False

    recipe_specific_options = {
        'days': {
            'short': 'Oldest article to download from this news source. In days ',
            'long': 'For example, 0.5, gives you articles from the past 12 hours',
            'default': str(oldest_article)
        },
        'res': {
            'short': 'For hi-res images, select a resolution from the\nfollowing options: 834, 960, 1096, 1280, 1424',
            'long': 'This is useful for non e-ink devices, and for a lower file size\nthan the default, use from 480, 384, 360, 256.',
            'default': '600',
        },
    }

    def __init__(self, *args, **kwargs):
        BasicNewsRecipe.__init__(self, *args, **kwargs)
        d = self.recipe_specific_options.get('days')
        if d and isinstance(d, str):
            self.oldest_article = float(d)

    def get_browser(self, *args, **kwargs):
        kwargs['user_agent'] = 'TheEconomist-Lamarr-android'
        br = BasicNewsRecipe.get_browser(self, *args, **kwargs)
        br.addheaders += [('x-request-id', str(uuid4()))]
        return br

    def economist_return_index(self, ans):
        if not ans:
            raise NoArticles(
                'Could not find any articles, either the '
                'economist.com server is having trouble and you should '
                'try later or the website format has changed and the '
                'recipe needs to be updated.'
            )
        return ans

    def parse_index(self):
        query = {
            'query': 'query HomeQuery($homeId:String!$relatedId:String!$podcastsId:String!){canonical(ref:$homeId){hasPart{parts{id title:headline cta{text url __typename}type hasPart{parts{isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}...ArticleFragment hasPart{parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}hasPart{parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__typename}__typename}isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__typename}__typename}__typename}relatedTopStories:canonical(ref:$relatedId){id title:headline hasPart(size:2 sort:"datePublished:desc"){parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__typename}podcasts:canonical(ref:$podcastsId){id title:headline hasPart(size:6 sort:"datePublished:desc"){parts{...ArticleFragment isPartOf{id context{title:headline flyTitle:subheadline rubric:description dateline image{...ImageMainFragment ...ImagePromoFragment __typename}__typename}__typename}__typename}__typename}__typename}}fragment ArticleFragment on Content{articleSection{internal{id title:headline __typename}__typename}audio{main{id duration(format:"seconds")source:channel{id __typename}url{canonical __typename}__typename}__typename}byline dateline dateModified datePublished flyTitle:subheadline id image{...ImageInlineFragment ...ImageMainFragment ...ImagePromoFragment __typename}print{title:headline flyTitle:subheadline rubric:description section{id title:headline __typename}__typename}publication{id tegID title:headline flyTitle:subheadline datePublished regionsAllowed url{canonical __typename}__typename}rubric:description source:channel{id __typename}tegID text(format:"json")title:headline type url{canonical __typename}__typename}fragment ImageInlineFragment on Media{inline{url{canonical __typename}width height __typename}__typename}fragment ImageMainFragment on Media{main{url{canonical __typename}width height __typename}__typename}fragment ImagePromoFragment on Media{promo{url{canonical __typename}id width height __typename}__typename}',  # noqa: E501
            'operationName': 'HomeQuery',
            'variables': '{"homeId":"/content/8mmm7h9v7arvfpvn4n20hakmg4ugatur",'
                           '"relatedId":"/content/c7kho74htgua3gif74fa4bnbjr64i1js","podcastsId":"/content/omi23dr8h15h8c33t2gkb2cju8ap758o"}',
        }
        url = 'https://cp2-graphql-gateway.p.aws.economist.com/graphql?' + urlencode(query, safe='()!', quote_via=quote)
        try:
            raw = self.index_to_soup(url, raw=True)
        except Exception:
            raise ValueError('Server is not reachable, try again after some time.')
        ans = self.economist_parse_index(raw)
        return self.economist_return_index(ans)

    def economist_parse_index(self, raw):
        data = json.loads(raw)['data']['canonical']['hasPart']['parts']

        feeds = []

        for part in data:
            section = part.get('title', 'Articles')
            self.log(section)

            articles = []

            for art in part['hasPart']['parts']:
                title = safe_dict(art, 'title')
                desc = safe_dict(art, 'rubric') or ''
                sub = safe_dict(art, 'flyTitle') or ''
                if sub and section != sub:
                    desc = sub + ' :: ' + desc
                if not art.get('text'):
                    continue
                date_ = art['datePublished']
                dt = datetime.fromisoformat(date_[:-1]) + timedelta(seconds=time.timezone)
                if (datetime.now() - dt) > timedelta(self.oldest_article):
                    continue
                pt = PersistentTemporaryFile('.html')
                pt.write(json.dumps(art).encode('utf-8'))
                pt.close()
                url = 'file:///' + pt.name
                articles.append({'title': title, 'url': url, 'description': desc})
                self.log('\t', title, '\n\t\t', desc)
            if articles:
                feeds.append((section, articles))
        return feeds

    def populate_article_metadata(self, article, soup, first):
        article.url = soup.find('h1')['title']

    def preprocess_html(self, soup):
        width = '600'
        w = self.recipe_specific_options.get('res')
        if w and isinstance(w, str):
            width = w
        for img in soup.findAll('img', src=True):
            qua = 'economist.com/cdn-cgi/image/width=' + width + ',quality=80,format=auto/'
            img['src'] = img['src'].replace('economist.com/', qua)
        return soup

    def preprocess_raw_html(self, raw, url):
        # open('/t/raw.html', 'wb').write(raw.encode('utf-8'))

        body = '<html><body><article></article></body></html>'
        root = parse(body)
        load_article_from_json(raw, root)

        if '/interactive/' in url:
            return ('<html><body><article><h1>' + root.xpath('//h1')[0].text + '</h1><em>'
                    'This article is supposed to be read in a browser.'
                    '</em></article></body></html>')

        for div in root.xpath('//div[@class="lazy-image"]'):
            noscript = list(div.iter('noscript'))
            if noscript and noscript[0].text:
                img = list(parse(noscript[0].text).iter('img'))
                if img:
                    p = noscript[0].getparent()
                    idx = p.index(noscript[0])
                    p.insert(idx, p.makeelement('img', src=img[0].get('src')))
                    p.remove(noscript[0])
        for x in root.xpath('//*[name()="script" or name()="style" or name()="source" or name()="meta"]'):
            x.getparent().remove(x)
        # the economist uses <small> for small caps with a custom font
        for init in root.xpath('//span[@data-caps="initial"]'):
            init.set('style', 'font-weight:bold;')
        for x in root.xpath('//small'):
            if x.text and len(x) == 0:
                x.text = x.text.upper()
                x.tag = 'span'
                x.set('style', 'font-variant: small-caps')
        for h2 in root.xpath('//h2'):
            h2.tag = 'h4'
        for x in root.xpath('//figcaption'):
            x.set('style', 'text-align:center; font-size:small;')
        for x in root.xpath('//cite'):
            x.tag = 'blockquote'
            x.set('style', 'color:#404040;')
        raw = etree.tostring(root, encoding='unicode')
        return raw

    def eco_find_image_tables(self, soup):
        for x in soup.findAll('table', align=['right', 'center']):
            if len(x.findAll('font')) in (1, 2) and len(x.findAll('img')) == 1:
                yield x

    def postprocess_html(self, soup, first):
        for img in soup.findAll('img', srcset=True):
            del img['srcset']
        for table in list(self.eco_find_image_tables(soup)):
            caption = table.find('font')
            img = table.find('img')
            div = new_tag(soup, 'div')
            div['style'] = 'text-align:left;font-size:70%'
            ns = NavigableString(self.tag_to_string(caption))
            div.insert(0, ns)
            div.insert(1, new_tag(soup, 'br'))
            del img['width']
            del img['height']
            img.extract()
            div.insert(2, img)
            table.replaceWith(div)
        return soup

    def canonicalize_internal_url(self, url, is_link=True):
        if url.endswith('/print'):
            url = url.rpartition('/')[0]
        return BasicNewsRecipe.canonicalize_internal_url(self, url, is_link=is_link)
